FastDTW-Encoded Spatial-temporal Attention Dual Graph Convolutional Network for Traffic Flow Prediction

Addressing the insufficient extraction of traffic network topology features and inadequate topological feature extraction and spatial-temporal dependency modeling in traffic flow prediction, we construct a dual graph convolutional network algorithm based on fast Dynamic Time Warping (fastDTW) and sp...

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Veröffentlicht in:	IEEE International Symposium on IT in Medicine and Education S. 720 - 725
Hauptverfasser:	Shen, Bingqi, Chen, Linlong, Yang, Nan
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 13.09.2024
Schlagworte:	Attention mechanisms Convolution Correlation FastDTW Feature extraction Graph convolutional networks Heuristic algorithms Network topology Prediction algorithms Predictive models Spatial-temporal dependency modeling Time series analysis Traffic flow prediction
ISSN:	2474-3828
Online-Zugang:	Volltext
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